Question 1

Posting a photo is an example of __________behaviour.

Accepted Answer

A) User-User 
B) User-Community 
C) User-Entity 
D) none 
A) User-User 
B) User-Community 
C) User-Entity 
D) none C

Question 2

A smaller hitting time implies a ____ similarity

Accepted Answer

A) higher 
B) lower 
C) thinner 
D) average 
A) higher 
B) lower 
C) thinner 
D) average A

Question 3

Twitter has popularized the use of___________

Accepted Answer

A) emojis 
B) instagrams 
C) hashtags 
D) tweets 
A) emojis 
B) instagrams 
C) hashtags 
D) tweets C

Question 4

The likelihood of a node that is a neighbor of either of a common neighbor is ____________

Accepted Answer

A) Adamic-Adar similarity 
B) Preferential Attachment 
C) Jaccard Similarity 
D) None 
A) Adamic-Adar similarity 
B) Preferential Attachment 
C) Jaccard Similarity 
D) None

Question 5

Threshold and cascade models are used in ___________behaviour modelling,

Accepted Answer

A) Collective 
B) individual 
C) group 
D) none 
A) Collective 
B) individual 
C) group 
D) none

Question 6

_____ refers to breaking down a stream of texts into parts such as words, phrases, symbols.

Accepted Answer

A) Tokenization 
B) Data Cleaning 
C) Data gathering 
D) Preprocessing 
A) Tokenization 
B) Data Cleaning 
C) Data gathering 
D) Preprocessing

Question 7

which of following is not paid Facebook Analytics tool

Accepted Answer

A) SoTrender 
B) Brand24 
C) Social Bakers 
D) LikeAlyzer 
A) SoTrender 
B) Brand24 
C) Social Bakers 
D) LikeAlyzer

Question 8

Twitter is a _____________service.

Accepted Answer

A) blogging 
B) Microblgging 
C) daily blogging 
D) None of above 
A) blogging 
B) Microblgging 
C) daily blogging 
D) None of above

Question 9

Collective Behavior is often ___________

Accepted Answer

A) spontaneous and unplanned 
B) planned 
C) coordinated 
D) unknown. 
A) spontaneous and unplanned 
B) planned 
C) coordinated 
D) unknown.

Question 10

Posting messages online to support a cause is an example of _________ behaviour.

Accepted Answer

A) User-User 
B) User-Community 
C) individual 
D) collective 
A) User-User 
B) User-Community 
C) individual 
D) collective

Question 11

Granger Causality considers __________regression model

Accepted Answer

A) non linear 
B) progressive 
C) linear 
D) logarithmic 
A) non linear 
B) progressive 
C) linear 
D) logarithmic

Question 12

Preferential Attachment is Nodes of higher degree have a ______chance of getting connected to incoming nodes

Accepted Answer

A) lower 
B) average 
C) equal 
D) higher 
A) lower 
B) average 
C) equal 
D) higher

Question 13

________ community come into existence when members share common interests without having clear and strong connections

Accepted Answer

A) explicit 
B) Social 
C) implicit 
D) common 
A) explicit 
B) Social 
C) implicit 
D) common

Question 14

Participating in group discussions is an example of __________behaviour.

Accepted Answer

A) User-User 
B) User-Community 
C) User-Entity 
D) none 
A) User-User 
B) User-Community 
C) User-Entity 
D) none

Question 15

Collective Behavior was first defined by sociologist______

Accepted Answer

A) Katz 
B) Robert Park 
C) Adamic-Ada 
D) None of above 
A) Katz 
B) Robert Park 
C) Adamic-Ada 
D) None of above

Question 16

Dynamic maps can be used to extract __________data

Accepted Answer

A) user 
B) geographical 
C) community 
D) entity 
A) user 
B) geographical 
C) community 
D) entity

Question 17

The_________ tool is another great option to extract data on Facebook

Accepted Answer

A) web scraping 
B) web crawling 
C) web mining 
D) None of above 
A) web scraping 
B) web crawling 
C) web mining 
D) None of above

Question 18

___________denotes number of paths of length l between x and y,

Accepted Answer

A) Katz Measure 
B) Hitting time 
C) Commute time 
D) Rooted PageRank 
A) Katz Measure 
B) Hitting time 
C) Commute time 
D) Rooted PageRank

Question 19

To determine individuals joining ________and______algorithms are used.

Accepted Answer

A) classification, feature selection 
B) clustering, feature selection 
C) classification, clustering 
D) mining, clustering 
A) classification, feature selection 
B) clustering, feature selection 
C) classification, clustering 
D) mining, clustering

Question 20

___________ is when any user who is a member of two sites s1 and s2 at time ti and is only a member of s2 at time tj > ti.

Accepted Answer

A) Site Migration 
B) Attention Migration 
C) Complete Migration 
D) None of above 
A) Site Migration 
B) Attention Migration 
C) Complete Migration 
D) None of above

Posting a photo is an example of __________behaviour.

A smaller hitting time implies a ____ similarity

Twitter has popularized the use of___________

The likelihood of a node that is a neighbor of either of a common neighbor is ____________

Threshold and cascade models are used in ___________behaviour modelling,

_____ refers to breaking down a stream of texts into parts such as words, phrases, symbols.

which of following is not paid Facebook Analytics tool

Twitter is a _____________service.

Collective Behavior is often ___________

Posting messages online to support a cause is an example of _________ behaviour.

Granger Causality considers __________regression model

Preferential Attachment is Nodes of higher degree have a ______chance of getting connected to incoming nodes

________ community come into existence when members share common interests without having clear and strong connections

Participating in group discussions is an example of __________behaviour.

Collective Behavior was first defined by sociologist______

Dynamic maps can be used to extract __________data

The_________ tool is another great option to extract data on Facebook

___________denotes number of paths of length l between x and y,

To determine individuals joining __andalgorithms are used.

___________ is when any user who is a member of two sites s1 and s2 at time ti and is only a member of s2 at time tj > ti.

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Data Mining and Clustering: Key Concepts and Tasks

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Social Media Analytics and Data Extraction

Social Media Analysis and Modeling Techniques

Various Aspects of Social Media and Prediction Techniques

Filters

Exam 10: Network Analysis and Social Media

Posting a photo is an example of __________behaviour.

A smaller hitting time implies a ____ similarity

Twitter has popularized the use of___________

The likelihood of a node that is a neighbor of either of a common neighbor is ____________

Threshold and cascade models are used in ___________behaviour modelling,

_____ refers to breaking down a stream of texts into parts such as words, phrases, symbols.

which of following is not paid Facebook Analytics tool

Twitter is a _____________service.

Collective Behavior is often ___________

Posting messages online to support a cause is an example of _________ behaviour.

Granger Causality considers __________regression model

Preferential Attachment is Nodes of higher degree have a ______chance of getting connected to incoming nodes

________ community come into existence when members share common interests without having clear and strong connections

Participating in group discussions is an example of __________behaviour.

Collective Behavior was first defined by sociologist______

Dynamic maps can be used to extract __________data

The_________ tool is another great option to extract data on Facebook

___________denotes number of paths of length l between x and y,

To determine individuals joining ________and______algorithms are used.

___________ is when any user who is a member of two sites s1 and s2 at time ti and is only a member of s2 at time tj > ti.

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Data Mining and Clustering: Key Concepts and Tasks

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Social Media Analytics and Data Extraction

Social Media Analysis and Modeling Techniques

Various Aspects of Social Media and Prediction Techniques

Filters

To determine individuals joining __andalgorithms are used.